欢迎大家赞助一杯啤酒🍺 我们准备了下酒菜:Formal mathematics/Isabelle/ML, Formal verification/Coq/ACL2, C++/F#/Lisp
Weka
来自开放百科 - 灰狐
(版本间的差异)
小 (→图集) |
小 (→项目) |
||
第19行: | 第19行: | ||
*[https://github.com/ariskk/distributedWekaSpark Weka on Spark] | *[https://github.com/ariskk/distributedWekaSpark Weka on Spark] | ||
*[https://www.mathworks.com/matlabcentral/fileexchange/21204-matlab-weka-interface Matlab Weka Interface] | *[https://www.mathworks.com/matlabcentral/fileexchange/21204-matlab-weka-interface Matlab Weka Interface] | ||
+ | *[http://weka.sourceforge.net/packageMetaData/ Weka Packages] | ||
==中文化== | ==中文化== |
2017年7月3日 (一) 11:18的版本
您可以在Wikipedia上了解到此条目的英文信息 Weka Thanks, Wikipedia. |
Weka - Open Source Data Mining
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.
目录 |
简介
Weka: Machine learning software to solve data mining problems
指南
项目
- MOA - Massive Online Analysis
- Meka: A Multi-label Extension to Weka
- OpenSubspace: Weka Subspace-Clustering Integration
- Auto-WEKA
- Weka on Spark
- Matlab Weka Interface
- Weka Packages
中文化
文档
书籍
图集
链接
分享您的观点